Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations. - Nima Hosseini Dashtbayaz; Ghazal Farhani; Boyu Wang 004; Charles X. Ling (IJCAI, 2024)

On the Benefits of Attribute-Driven Graph Domain Adaptation. - Ruiyi Fang; Bingheng Li; Zhao Kang 001; Qiuhao Zeng; Nima Hosseini Dashtbayaz; Ruizhi Pu; Charles Ling 001; Boyu Wang 004 (ICLR, 2025)

A simple remedy for failure modes in physics informed neural networks. - Ghazal Farhani; Nima Hosseini Dashtbayaz; Alexander Kazachek; Boyu Wang 004 (Neural Networks, 2025)

Physics-informed Reduced Order Modeling of Time-dependent PDEs via Differentiable Solvers. - Nima Hosseini Dashtbayaz; Hesam Salehipour; Adrian Butscher; Nigel Morris (CoRR, 2025)